EP240: The Orchard Framework episode artwork

EPISODE · Jun 11, 2026 · 8 MIN

EP240: The Orchard Framework

from Learning GenAI via SOTA Papers - Video · host Yun Wu

Title: Orchard: An Open-Source Agentic Modeling FrameworkSource: http://arxiv.org/abs/2605.15040v1Summary:Orchard provides a scalable open-source framework for agentic modeling, introducing reusable environment primitives and training recipes that enable LLMs to achieve state-of-the-art performance on complex tasks. It addresses critical gaps in agent infrastructure by standardizing sandbox management and introducing credit-assignment SFT for learning from unresolved trajectories.

Episode metadata supplied by the publisher feed · Published Jun 11, 2026

Embed this episode

NOW PLAYING

EP240: The Orchard Framework

0:00 8:16

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

Frequently Asked Questions

How long is this episode of Learning GenAI via SOTA Papers - Video?

This episode is 8 minutes long.

When was this Learning GenAI via SOTA Papers - Video episode published?

This episode was published on June 11, 2026.

Can I download this Learning GenAI via SOTA Papers - Video episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!